Versions Compared

Old Version 3

changes.mady.by.user Alina Luchkina

Saved on

compared with

New Version Current

changes.mady.by.user Alena Kniazeva

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

  1. Added new neural network models that simultaneously detect two classes—Human and Vehicle. The models are divided into three types: Nano, Medium and Large. Resource consumption increases as recognition accuracy increases Setting up Neural Tracker-based Scene Analytics detection tools Image Added
  2. Added the definition of a "non-living face" for Face detection.
  3. Added the possibility of specifying the number of detection tool detector objects for the standard sub-detection toolsdetectors: Motion in area, Appearance in area, Disappearance in area. For example, the detection tool detector will trigger only if two objects are moving in the frame.
  4. Added new countries for the for License plate recognition (IV) License plate recognition (IV) features and specificationsIV Image Added
  5. Added new countries for the License plate recognition (VT) License plate recognition (VT) features and specificationsVT Image Added
  6. Added new countries for the License plate recognition (RR) License plate recognition (RR) features and specificationsRR Image Added
  7. Added the cache creation utility for the License plate recognition ( RR ) Image Added and RR vehicles recognition Optimizing the operation of the License plate (RR) and RR vehicles recognition on GPUVehicle recognition RR Image Added

Optimization

  1. Updated the neural network algorithm OpenVINO that improved the performance up to 1.5 times when using CPU.

  2. Normalized the loading by cores on the 12th and 13th generation Intel processors and on Servers with two processors.

Update recommendations

  1. For Linux OS: if a detector pack 3.7.4 version and earlier that includes all analytics tools is installed (not divided into plugins), then before updating, it is necessary to remove the installed package without using purge (complete package deletion)

    ,

    by running the following command:

    Code Block
    sudo dpkg --remove --force-depends axxon-detector-pack

    and then install the necessary plugins.

  2. For Face masking to work during export, it is necessary to have the Neuro Pack installed.
  3. If you have the Move from area to area sub-detection tool detector created, you need to contact technical support and get a manual for updating.

...

  1. When you update the Face Recognition Pack, the results of the previously recognized persons will become unavailable. If you want to keep the previously recognized persons, do not update the analytics package.
  2. To start and correctly run the basic Face detectionDetection on GPU, you must first create a cache Optimizing the operation of Face detection on GPU Image Added
  3. Discontinued the support for the Intel HDDL devices.

  4. Removed the Move from area to area sub-detection tool detector from the current release to provide the support with Axxon One 1.0 software version. At the same time, the full compatibility is not guaranteed, there is no support for the declared functionality and the sub-detection tool detector optimization.

  5. The mechanisms for launching neural network models have changed, that is why some of the custom models (trained specifically for the object) may not can work correctlyincorrectly. If you encounter any difficulties, please contact technical support.